Hello Dr, I thank you for the video. One question, can use this method for developing a scale, is it right. Or, Should I keep all the constructs in full or I can use the imputed variable. Thank you
You can use this approach to validate the higher order factor, but then I would recommend to return to the full HOC model when testing the structural model.
Hi Dr. Gaskin I have downloaded the latest version of SmartPLS4 (v 4.1.0.6) and I can't seem to access R^2. In the left hand side-bar it goes 'model fit' and then 'construct reliability and validity' whereas your version has R^2. Under the bottom half of the left hand side-bar I can select R^2 under construct, where you have AVE, but when I do that, nothing shows. Odd. I wonder why this would be? - Is there a way to derive R^2 from AVE? - Could you explain the difference between them? Thanks!
Make sure you are not bootstrapping. The R-square only shows up for bootstrap if you select Complete results (slower) in the setup. R-square also won't show up if you don't have any endogenous variables. R-square is the variance explained in the endogenous variable by its predictors. AVE is the average squared loading of indicators.
@@Gaskination Thank you. For my measurement model, I didn't use the CB-SEM Bootstrap, I just ran the normal algorithm and as mentioned, no R-Square was shown which now makes sense. When I ran the structural model, I got the R-Square value. Is there any scenario where I would HAVE to run the CB-SEM bootstrap or is it fine for me to just run the normal algorithm?
Thanks. Do we then report the beta coefficient from the basic CB-SEM algorithm along with the p-values/significance values from the bootstrap or do we just report all the bootstrap data?
![20. Higher Order Model [Reflective- Reflective] in SmartPLS-4 || Dr. Dhaval Maheta](http://i.ytimg.com/vi/I4tqE7MtBN0/mqdefault.jpg)
Thank you very much Prof. Gaskin
We are grateful for this scholarly video.
Thanks Prof. You never disappoint us.
Thanks again, Prof, for sharing great content
Hello Dr,
I thank you for the video.
One question, can use this method for developing a scale, is it right.
Or, Should I keep all the constructs in full or I can use the imputed variable.
Thank you
You can use this approach to validate the higher order factor, but then I would recommend to return to the full HOC model when testing the structural model.
Hi Dr. Gaskin
I have downloaded the latest version of SmartPLS4 (v 4.1.0.6) and I can't seem to access R^2. In the left hand side-bar it goes 'model fit' and then 'construct reliability and validity' whereas your version has R^2. Under the bottom half of the left hand side-bar I can select R^2 under construct, where you have AVE, but when I do that, nothing shows. Odd. I wonder why this would be?
- Is there a way to derive R^2 from AVE?
- Could you explain the difference between them?
Thanks!
Make sure you are not bootstrapping. The R-square only shows up for bootstrap if you select Complete results (slower) in the setup. R-square also won't show up if you don't have any endogenous variables. R-square is the variance explained in the endogenous variable by its predictors. AVE is the average squared loading of indicators.
@@Gaskination Thank you. For my measurement model, I didn't use the CB-SEM Bootstrap, I just ran the normal algorithm and as mentioned, no R-Square was shown which now makes sense. When I ran the structural model, I got the R-Square value. Is there any scenario where I would HAVE to run the CB-SEM bootstrap or is it fine for me to just run the normal algorithm?
@@TUPhDude Bootstrapping gives you p-values for indirect effects. It also gives you more robust estimates all around.
Thanks. Do we then report the beta coefficient from the basic CB-SEM algorithm along with the p-values/significance values from the bootstrap or do we just report all the bootstrap data?
@@TUPhDude Report the bootstrap data
Dear sir, can you advise any thesis paper link which analysis is done through smart Pls 4 PLS SEM??
I don't know of any yet, though there must be some. I don't have doctoral students in my college, so I cannot refer you to one of my own.